Thomaz Luscher Dias

Serves as scientific-to-business bridge, leading client engagement and managing computational biologists. Co-authored flagship deep learning publication and drives scientific delivery from scoping to publication-quality reports.

Built and scaled scRNA-seq processing and atlas pipelines, and developed an end-to-end target identification and drug repurposing pipeline. Led client accounts and co-invented a method-of-use patent.

Managed a 10-person metadata curation team and established foundational scRNA-seq and atlas infrastructure that became the basis for all subsequent company pipelines.

Built a bulk and single-cell transcriptomic atlas of COVID-19 and analyzed immune mechanisms of antipsychotics. Co-advised graduate students and trained postdoctoral researchers.

Developed a computational method to assess genetic predisposition for MRI-derived brain morphometric phenotypes using personalized genomics data.

Analyzed alternative splicing perturbations driven by SARS-CoV-2 infection. Co-advised undergraduate and graduate students.

Ph.D. in Biochemistry and Immunology, focusing on a network medicine approach to discover drug repositioning candidates for neurological, psychiatric, and inflammatory diseases.

M.Sc. in Neurosciences, involving wet-lab experiments and machine learning approaches to analyze brain circuits involved in social memory dynamics in mice.

B.Sc. in Biological Sciences, including construction and analysis of a cDNA library of Agaricus blazei to detect transcripts with biotechnological interest.

AFS Exchange Program during high school.